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MLOps Data Platform Engineer

Vodafone
Newbury
5 days ago
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Job Purpose

The ML Ops Data Data Platform Engineer is accountable for the AIOps+DevOps (MLOps) approach to design, develop, optimise and operation of Vodafone’s VCI HW/SW landscape within budget and SLAs.

What you’ll do


Deliver, develop and operate and optimizing ML and AI algorithms for VCI related infrastructure incl network, compute, cloud and tooling. Support and enable the development and operations of Machine Learning modules and solutions for all Local Markets and Group FunctionsCreate and review Data platform solution designs and use cases, taking any necessary action to mitigate the impact associated with the infrastructure on/off-premises.Engage with the development lifecycles for monitoring, maintaining, capacity planning, availability, and performance of the Data Platform solutions against SLAs from a level two and level three support perspectiveProvide specialist support for Mission Critical Data platforms and infrastructure incl level two and level three incident and problem managementFacilitate the technical discussions with Data Platform service providers (on/off-prem) and manage Vodafone dependencies on lifecycle management, security/audit adherence. Ensure Vodafone is achieving the full value from its Data Platform investments. Manage the design and implementation of the supporting teams (Security/Architecture) to ensure on-time delivery and budget of Data Platforms aligned to the latest strategic goals (Fiscal and technological). Determine user and technical story impact on existing architecture, work processes and systems

Who you are


Proven experience and proven track record in Data Platforms and Analytical toolstack at Enterprise scale.Specialist skills in:Data Platform deployments on-prem and public cloud (GCP, AWS) Analytical technologies both Enterprise and OpenSource (Cloudera, Teradata, Tableau, Hadoop, Neo4J).Analytical techniques/models incl Machine Learning, Data Modelling and VisualisationAt least one or more Analytical programming and scripting languages, SQL, Python, Linux

Data Driven evidenced through creativity, analysis, and problem solving skills. utilize Data/Visualization techniques to illustrate issues and challenges.

Master’s or Bachelor’s Degree or technical institute certificate in Computer Science, Information Systems or other related field Able to demonstrate proven track record of work experience in designing, developing, deploying and / or administering Analytical solutions

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